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LA BioMed research finds simpler way to assess breast cancer risk
Date:11/13/2007

omputer is needed to determine a womans risk of breast cancer. As a result, it wasnt used widely.

Previous surveys found only 11 percent of California primary care physicians had used the Gail Model for risk assessment in the past year. In a national survey, only 16 percent agreed that it is easy to determine who is eligible for breast cancer risk reduction strategies and only 25 percent had prescribed tamoxifen for risk reduction in the past year.

The Gail model underestimated 5-year breast cancer incidence by almost 20 percent, but it performed better when predicting estrogen receptor-positive breast cancer than estrogen receptor-negative breast cancer. The simpler model that used only three factors for calculating riskage, family history of breast cancer, and previous breast biopsywas almost as accurate as the Gail model for predicting estrogen receptor-positive breast cancer.

The simpler model "would be more accessible for routine and rapid prescreening in the prevention or routine care setting," the authors wrote in the Journal article.


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Contact: Laura Mecoy
lmecoy@issuesmanagement.com
310-546-5860
Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center (LA BioMed)
Source:Eurekalert

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